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Roadtechs.com PetroChem / Fossil / OffShore Job Board AB Condition-Based Monitoring (CBM) Analyst-Turbomachinery

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Position Summary
The CBM Analyst is responsible for performing advanced condition-based monitoring and diagnostic analysis on turbomachinery and rotating equipment. The role requires Level 2 certification in vibration analysis, ultrasound, and infrared thermography, combined with strong analytical capability to detect early equipment degradation and prevent failures. This position supports the organization’s predictive maintenance strategy by collecting high-quality data, interpreting asset health indicators, and recommending corrective actions to improve equipment reliability and uptime.
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Key Responsibilities
Condition Monitoring & Diagnostics
• Perform detailed Level 2 vibration analysis on turbomachinery, including compressors, gas/steam turbines, pumps, blowers, and other rotating machinery.
• Conduct ultrasound inspections to identify bearing defects, lubrication issues, leaks, and mechanical anomalies.
• Perform infrared (IR) thermography surveys on rotating equipment, electrical systems, and process-related components to identify abnormal heat signatures.
• Collect, validate, and trend data using advanced CBM tools and sensors to assess equipment health.
• Diagnose machinery faults such as unbalance, misalignment, looseness, resonance, rubs, blade issues, lubrication deficiency, and bearing wear.
• Generate accurate and timely diagnostic reports with clear findings and repair recommendations.
Predictive Maintenance Program Support
• Optimize CBM routes, data collection intervals, and monitoring frequency based on equipment criticality.
• Work closely with reliability and maintenance teams to plan corrective actions and verify the effectiveness of repairs.
• Update and maintain asset condition history, machine baseline data, and spectral databases.
• Support integration of CBM findings into reliability analyses such as RCA, FMEA, and maintenance strategy reviews.
• Participate in developing and enhancing predictive maintenance procedures, standards, and best practices.
Turbomachinery Health Management
• Lead condition monitoring initiatives specifically for high-speed and critical turbomachinery assets.
• Monitor performance trends and vibration signatures during startup, shutdown, and steady-state operation.
• Validate OEM vibration limits, alarm thresholds, and protection system settings.
• Support commissioning and post-maintenance testing to ensure proper machine behavior and reliability.
Tools & Technology
• Utilize vibration analyzers, ultrasound detectors, and IR cameras; ensure calibration and proper use.
• Work with online monitoring systems (e.g., Bently Nevada, SKF, Emerson, or similar platforms).
• Interpret advanced spectral and waveform data, envelope analysis, time series trends, and thermal images.
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Qualifications & Experience
• Technical diploma or Bachelor’s degree in Mechanical Engineering, Reliability Engineering, or related discipline (preferred but not mandatory with strong experience).
• Level 2 certifications in:
o Vibration Analysis (ISO Category II or equivalent)
o Ultrasound Testing (Level II)
o Infrared Thermography (Level II – ASNT or equivalent)
• 3–7+ years of experience in condition monitoring or predictive maintenance roles.
• Strong experience with turbomachinery diagnostics—compressors, turbines, pumps, expanders, gearboxes, etc.
• Familiarity with CMMS systems and reliability/maintenance workflows.
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Key Skills & Competencies
• Strong analytical and diagnostic skills with a high level of attention to detail.
• Proficiency in interpreting vibration spectra, acoustic signatures, and thermal imagery.
• Solid understanding of rotating equipment mechanics and failure modes.
• Effective communication skills with the ability to explain technical findings to non-technical audiences.
• Proactive, safety-minded, and able to prioritize in fast-paced industrial environments.
• Ability to work independently during field inspections and collaborate effectively with cross-functional teams.


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